Or fill in a request form using the link below

Tag: Manufacturing

by Jamie Conlon The German government continues to lead the world in the adoption of Internet of Things technologies in manufacturing as part of its Industrie 4.0 plan, with initiatives ranging from advanced academic research to industrial trials, to ensure it remains at the forefront of the fourth industrial revolution. In a country where manufacturing

IIoT for predictive maintenance enables more extensive monitoring of equipment and processes at a much lower cost than traditional methods and delivers actionable warnings to prevent or minimize the consequences of an impending failure. Where IIoT for predictive maintenance is deployed in a well-designed program using Reliability Centered Maintenance (RCM) it will reduce surprise outages, lost production, extensive repairs, secondary damage and increase safety.

Businesses adopting Industrial Internet of Things (IIoT) technologies face a herculean task. In an industry where the number of connected devices and equipment is increasing exponentially, the amount of operational data coming online which must be analyzed and stored rises in tandem.
Though many industrial businesses utilizing traditional database management systems find themselves drowning in the sheer volume of sensor data they are producing, those who are forward-looking are turning towards new platforms to help manage their data and, in turn, reduce costs and improve overall performance.

If your company is not already drowning in data now, it will be soon. Gartner Inc. forecasts that 8.4 billion connected things will be in use worldwide in 2017, up 31 percent from 2016, and will reach 20.4 billion by 2020. In 2017, 6 million new things will be connected every day. Each one of them will transmit a stream of data, adding up to sensor data volumes that will dwarf today’s volumes. How your business uses this streaming data to compete in the market may determine its long-term success within the world of Industrial IoT.

Edge analytics is a method of data analysis and collection that allows an automated analytical computation to be performed on a tag or sensor rather than having all of the ingested data sent back to a centralized data warehouse before being acted upon. Manufacturing is an industry which requires real-time action on analytics at their source. This is a challenge which Kx excels at.

A digital revolution has come to manufacturing with sensors capturing real-time data to measure quality and precision during production. The existing software infrastructure on factory floors is simply unable to keep up with the new volumes of data being created each day.
IoT data from operations is raising the bar for traditional manufacturing companies. It is creating Industry 4.0 manufacturing, the “Smart Factory.” With Kx technology, and the business intelligence tools built on top of it, companies are given the means to set up fault detection scenarios and other live triggers to prevent costly errors before they happen.